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Pattern Recognition, Volume 89
Volume 89, May 2019
- Tao Yao, Gang Wang, Lianshan Yan, Xiangwei Kong, Qingtang Su, Caiming Zhang, Qi Tian:
Online latent semantic hashing for cross-media retrieval. 1-11
- Chen-Lin Zhang
, Jianxin Wu:
Improving CNN linear layers with power mean non-linearity. 12-21
- Yazhou Yang
, Marco Loog
:
Single shot active learning using pseudo annotators. 22-31
- Eliezer S. Flores
, Maciel Zortea, Jacob Scharcanski
:
Dictionaries of deep features for land-use scene classification of very high spatial resolution images. 32-44
- Kewei Tang
, Zhixun Su
, Yang Liu
, Wei Jiang
, Jie Zhang
, Xiyan Sun
:
Subspace segmentation with a large number of subspaces using infinity norm minimization. 45-54
- Haishuai Wang, Qin Zhang, Jia Wu
, Shirui Pan
, Yixin Chen:
Time series feature learning with labeled and unlabeled data. 55-66
- Jun Shi, Xiao Zheng, Jinjie Wu, Bangming Gong, Qi Zhang, Shihui Ying
:
Quaternion Grassmann average network for learning representation of histopathological image. 67-76
- Cosimo Patruno
, Roberto Marani
, Grazia Cicirelli, Ettore Stella
, Tiziana D'Orazio
:
People re-identification using skeleton standard posture and color descriptors from RGB-D data. 77-90
- Meng Pang
, Yiu-ming Cheung
, Binghui Wang
, Risheng Liu
:
Robust heterogeneous discriminative analysis for face recognition with single sample per person. 91-107
- Pengfei Chen, Leida Li, Xinfeng Zhang, Shanshe Wang, Allen Tan:
Blind quality index for tone-mapped images based on luminance partition. 108-118
- Haoliang Yuan
, Junyu Li, Loi Lei Lai
, Yuan Yan Tang:
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection. 119-133
- Farnoosh Ghadiri
, Robert Bergevin
, Guillaume-Alexandre Bilodeau
:
From superpixel to human shape modelling for carried object detection. 134-150 - Marcel Nwali
, Simon Liao:
A new fast algorithm to compute continuous moments defined in a rectangular region. 151-160
- Debasrita Chakraborty
, Vaasudev Narayanan, Ashish Ghosh
:
Integration of deep feature extraction and ensemble learning for outlier detection. 161-171
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